| Article ID: | iaor20131927 |
| Volume: | 55 |
| Issue: | 3 |
| Start Page Number: | 507 |
| End Page Number: | 520 |
| Publication Date: | Mar 2013 |
| Journal: | Journal of Global Optimization |
| Authors: | Chen Zhe |
| Keywords: | programming: multiple criteria, programming: convex |
In this paper, we present a unified approach for studying convex composite multiobjective optimization problems via asymptotic analysis. We characterize the nonemptiness and compactness of the weak Pareto optimal solution sets for a convex composite multiobjective optimization problem. Then, we employ the obtained results to propose a class of proximal‐type methods for solving the convex composite multiobjective optimization problem, and carry out their convergence analysis under some mild conditions.